Triple
T27099188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlon Dingle |
E686390
|
entity |
| Predicate | hasSiblingInFamily |
P132967
|
FINISHED |
| Object | Eli Dingle |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eli Dingle | Statement: [Marlon Dingle, hasSiblingInFamily, Eli Dingle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingInFamily Context triple: [Marlon Dingle, hasSiblingInFamily, Eli Dingle]
-
A.
siblingOrRelative
chosen
Indicates that two entities are related to each other by blood, marriage, or family ties, including but not limited to being siblings.
-
B.
hasHalfSibling
Indicates that two individuals share exactly one biological parent in common, making them half-siblings.
-
C.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
D.
hasSisterRelationshipType
Indicates that there exists a sister-type familial relationship between the related entities.
-
E.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 8:46 a.m.